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Summary:

Meta is seeking a hands-on engineering manager to join the Monetization Ranking AI Inference Optimization team. The team works at the intersection of hardware, software and AI technologies, making direct contributions on Ads ranking model, MTIA, Nvidia, AMD and many other cutting edge open-source as well as internal infrastructure projects.The ranking team has established relationships with both academia and industry. We frequently collaborate with academia through internships and have a track record of publications in top AI, systems and architecture conferences. We partner closely with industry leaders to influence their roadmaps and build the best products for Meta’s Infrastructure.Join us and be a part of the team that is shaping the future of Meta Monetization!

Required Skills:

Software Engineering Manager - AI Hardware Systems Co-Design Responsibilities:

1. Lead the GPU AI Systems Co-Design Team responsible for driving Meta's Ads model scalability moving forward

2. Analyze trends and insights in Training and Inference workloads across Ads Ranking use-cases to inform strategic decisions

3. Leverage the team's technical expertise to pioneer innovative projects that significantly improve AI performance and efficiency at scale

4. Collaborate cross-functionally across ML, hardware, infrastructure, software and data science teams to drive engineering efforts

5. Build and scale a high-caliber team of engineers, drive recruitment, career growth, performance management, and strategic goal-setting

Minimum Qualifications:

Minimum Qualifications:

6. A Master of Science in Computer Science or related fields, with 4+ years of management experience

7. Technical depth in: AI Training and Inference workloads, GPU Systems Architecture, Hardware/Software Codesign

8. Demonstrated experience in leading technical teams working on Artificial Intelligence/Machine Learning systems and related domains

9. Proven track record of managing complex, large-scale programs and navigating the broad, interdisciplinary aspects of such projects

10. Demonstrated interpersonal skills and capacity to achieve results through cross-functional collaboration and leadership

Preferred Qualifications:

Preferred Qualifications:

11. A PhD in Computer Science or related fields with a demonstrated track record of research publications in AI/ML systems and related domains

12. Capacity to effectively communicate with and influence executive leadership and decision makers

13. Familiarity with ML architecture design and advanced technology, including quantization, knowledge distillation, foundational modeling

Public Compensation:

$177,000/year to $251,000/year + bonus + equity + benefits

**Industry:** Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].